Apache Kafka with Flink for Developers

Learn how to connect, transform, and process high-throughput data streams using Apache Kafka and Apache Flink in tandem.

Course Objectives

• Understand the fundamentals of Apache Kafka and Apache Flink.
• Set up and configure Kafka and Flink in a local development environment.
• Stream data from Kafka topics into Flink applications for real-time processing.
• Apply transformations, windowing, and state management in Flink jobs.
• Build end-to-end pipelines from source to sink with hands-on examples.

Course Overview

This developer-focused course teaches how to combine the messaging power of Apache Kafka with the streaming capabilities of Apache Flink. Starting with setup and moving into integration patterns, real-time transformations, and checkpointing, this course provides the skills necessary to engineer robust, scalable data pipelines in real time. Ideal for developers, engineers, and analysts working on modern data infrastructure.

Sample Module: Connecting Kafka and Flink

This module covers the integration of Kafka and Flink, including setting up connectors, managing schemas with Avro or JSON, and handling backpressure and partitioning strategies.

Lesson: Building a Kafka-to-Flink Stream Job

In this lesson, learners will create a Flink job that consumes data from a Kafka topic, applies simple transformations, and writes the results to a PostgreSQL sink. Topics include consumer group management, serialization formats, and operator chaining.